Interactive Speech Recognition Based on Excel Software

摘要

With the rapid development of modern computer technology, the communication between man and machine is becoming more frequent. A large amount of data is needed to input when people use Microsoft Excel software in the fields of account, office, finance, hospital, etc. This paper presents a recognition method of naming speech as input for Excel table. In this system, we use the characteristics of the name as a basic speech unit by using the Mel Frequency Coefficients (MFCC) as the feature parameters. Moreover, we use the Hidden Markov model (HMM) as the basis to train the acoustic models of this environment. The HMM can ease the mismatch caused by the identification of the test environment and training environment, which can improve the recognition rate further. Finally, experiments show that this system has good recognition and input function. This study establishes the foundation for future development of the method of application system.